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  Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations

Mazeika, A., Boehlen, M. H., & Trivellato, D. (2008). Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations. In P. Atzeni, A. Caplinskas, & H. Jaakkola (Eds.), Advances in Databases and Information Systems, 12th East European Conference, ADBIS 2008 (pp. 168-183). Berlin: Springer.

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 Creators:
Mazeika, Arturas1, Author           
Boehlen, Michael H., Author
Trivellato, Daniel, Author
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: The emerging field of visual analytics changes the way we model, gather, and analyze data. Current data analysis approaches suggest to gather as much data as possible and then focus on goal and process oriented data analysis techniques. Visual analytics changes this approach and the methodology to interpret the results becomes the key issue. This paper contributes with a method to interpret visual hierarchical heavy hitters (VHHHs). We show how to analyze data on the general level and how to examine specific areas of the data. We identify five common patterns that build the interpretation alphabet of VHHHs. We demonstrate our method on three different real world datasets and show the effectiveness of our approach

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Language(s): eng - English
 Dates: 2009-03-172008
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 428161
DOI: 10.1007/978-3-540-85713-6_13
URI: http://dx.doi.org/10.1007/978-3-540-85713-6_13
Other: Local-ID: C125756E0038A185-B7E03BC65CE7F224C12574F800305D18-Mazeika2007
 Degree: -

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Title: Untitled Event
Place of Event: Pori, Finland
Start-/End Date: 2008-09-05 - 2008-09-09

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Title: Advances in Databases and Information Systems, 12th East European Conference, ADBIS 2008
Source Genre: Proceedings
 Creator(s):
Atzeni, Paolo, Editor
Caplinskas, Albertas, Editor
Jaakkola, Hannu, Editor
Affiliations:
-
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 168 - 183 Identifier: ISBN: 978-3-540-85712-9

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 5207 Sequence Number: - Start / End Page: - Identifier: -